Overview
In the academic year 2022-2023, the Department of Computer Science and Engineering (DATA SCIENCE) was started with a 60 students intake. Data science is a multidisciplinary field that uses scientific techniques, procedures, algorithms, and systems to glean knowledge from both structured and unstructured data. Technically speaking, data science integrates statistics, data analysis and machine learning to comprehend and examine real-world occurrences. In addition to computer science, data science also makes use of methods and concepts from the domains of mathematics and statistics. The three main parts of data science are data organization, data packing, and data delivery which examine data, and the outcomes of that examination are utilized to make judgments and come to conclusions.QUALITY POLICY:
Engage the stakeholders in the department’s process of ongoing improvement and also teach students the value of updating the real-world applications.VISION
To achieve global proficiency in computer science and engineering (data science) by developing technically skilled professionals who can serve as innovative data analytics researchers, driving novelty and addressing societal challenges.MISSION
- M1: To provide holistic learner centered approaches to enhance analytical and leadership skills
- M2: To strengthen the core competences in the domain of computer science and engineering (data Science)
- M3: To use innovative teaching learning processes for building real-time applications leading to lifelong learning.
PROGRAM EDUCATIONAL OBJECTIVES (PEO’S)
PEO-1 Graduates with strong foundations in computer science and engineering capable of solving real-world problems using artificial intelligence and data-analytics
PEO-2
Graduates will adapt to professional development using data science technologies and possess excellent communication and leadership skills.
PEO-3
Graduates will process professional ethics and be committed to development of the society, providing engineering solutions with a focus on data security
PROGRAM SPECIFIC OUTCOMES (PSOs)
PSO-1: Apply mathematical models and statistical methods to solve complex engineering problems using knowledge of computer science and data science.
PSO-2: Building multi-disciplinary innovative projects using artificial intelligence models and data science.PROGRAM OUTCOME (POs)
PO1 – Engineering Knowledge: Apply knowledge of mathematics and science, with fundamentals of Aerospace Engineering to be able to solve complex engineering problems related to Aerospace EngineeringPO2 – Problem Analysis: Identify, Formulate, review research literature and analyse complex engineering problems related to Aerospace Engineering and reaching substantiated conclusions using first principles of mathematics, natural sciences and engineering sciences.
PO3 – Design/Development of solutions: Design solutions for complex aircraft problems related to Aerospace Engineering and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety and the cultural societal and environmental considerations.
PO4 – Conduct Investigations of Complex problems: Use research–based knowledge and research methods including design of Aircraft and Aerospace structure experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
PO5 – Modern Tool Usage: : Create, Select and apply appropriate techniques, resources and modern engineering and IT tools including prediction and modelling to Aerospace Engineering related complex engineering activities with an understanding of the limitations.
PO6 – The Engineer and Society: Apply Reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the Aerospace professional engineering practice.
PO7 – Environment and Sustainability: Understand the impact of the Aerospace professional engineering solutions in societal and environmental contexts and demonstrate the knowledge of, and need for sustainable development.
PO8 – Ethics: Apply Ethical Principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO9 – Individual and Team Work: Function effectively as an individual and as a member or leader in diverse teams and in multidisciplinary Settings.
PO10 – Communication: : Communicate effectively on complex engineering activities with the engineering community and with High society and with write effective reports and design documentation, make effective presentations and give and receive clear instructions.
PO11 – Project Management and Finance: Demonstrate knowledge and understanding of the engineering management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multi-disciplinary environments.
PO12 – Life-Long Learning: Recognize the need for and have the preparation and ability to engage in independent and life-long learning the broadest content of technological change.
